AI NFL Football Parlay Builder

Evaluating high-probability parlay bets requires synthesizing injuries, lineups, recent performance, matchup data, and odds across multiple games—information that is fragmented, time-sensitive, and difficult to process accurately in real time, leading to suboptimal decision-making.

My combined experience in web application development, data ingestion and APIs, and AI-driven systems—paired with domain knowledge in football and baseball—led me to design and build a data-informed parlay decision platform.

• High data volatility and quality issues across multiple external data sources, with critical inputs changing close to game start times
• Severe time constraints requiring iterative development, testing, and model refinement during an active sports season.

• Identified, evaluated, and integrated multiple external sports data APIs to support real-time data ingestion
• Designed and built the application architecture using AI-assisted development tools to accelerate implementation
• Implemented iterative validation and quality assurance workflows to assess model outputs and application behavior

• Delivered a web-based application providing weekly game schedules and data-informed parlay recommendations for same-game and same-day multi-game scenarios
• Established an iterative development and validation cycle enabling continuous refinement of data inputs, logic, and recommendations
• Achieved a 194% improvement in betting returns during the 2025 season compared to the same period in 2024, based on tracked personal results

I independently design and deliver AI-driven decision-support applications that translate volatile, real-time data into measurable performance improvements.